AI agents call list_backtests to retrieve information from QuantConnect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns existing backtest data without modifying, deleting, or executing anything. It is a straightforward read operation typical of listing/fetching endpoints. The low severity reflects minimal risk even if misused by an agent, as listing operations cannot cause harm to the underlying system or data.
From the tool's definition Tool name 'list_backtests' and description 'List all the backtests for the project' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_backtests gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QuantConnect, and nothing reaches the server without passing your rules. This is the rule we recommend for list_backtests:
{
"version": "1",
"default": "deny",
"tools": {
"list_backtests": {}
}
}list_backtests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
List all the backtests for the project. It is categorised as a Read tool in the QuantConnect MCP Server, which means it retrieves data without modifying state.
Register the QuantConnect MCP server in PolicyLayer and add a rule for list_backtests: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches QuantConnect. Nothing to install.
list_backtests is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_backtests rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for list_backtests. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
list_backtests is provided by the QuantConnect MCP server (quantconnect/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 64 QuantConnect tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
64 QuantConnect tools catalogued and risk-classified — across an index of 42,500+ MCP servers.